4555 results about "Network connectivity" patented technology

The invention provides a remote office network security protection method and system based on big data, and the method comprises the steps: firstly obtaining network activity data, including traffic, equipment states and user behavior data, of a plurality of terminal equipment in a remote office scene, and then carrying out the multi-dimensional security feature analysis of the network activity data, after a dynamic security feature set containing traffic, device fingerprints and behavior pattern features is generated, abnormal behaviors are identified through a multi-layer anomaly detection model, a detection result with an anomaly type and confidence is output, a target protection strategy is matched from a preset library according to the result, the weight is dynamically adjusted in combination with the anomaly confidence, and a real-time protection strategy instruction is generated. And finally, executing a protection strategy instruction to synchronously regulate and control network connection, equipment permission and a user access path, and feeding back regulated and controlled network state data to optimize abnormal identification logic, thereby realizing comprehensive and intelligent remote office network security protection.

An example operation may include one or more of establishing a network connection between a computing system and one or more external sources over a computer network, receiving a request from a user via a software application on a user device, collecting data about the user from the one or more external sources via the established network connection, executing a machine learning model on the collected data about the user to determine a goal of the user, and displaying an image of the goal via a user interface of the software application.

An example operation may include one or more of establishing a network connection between the computing system and a data source, iteratively performing a sequence of steps comprising collecting user data from the data source, executing a generative artificial intelligence (GenAI) model on the collected user data to generate a different image segment, and filling in a different subset of pixels of an image with the generated image segment and display the partially-filled in image on a user interface.

A federated distributed computational system enables secure, privacy-preserving biological data analysis and engineering through interconnected nodes coordinated in a distributed graph architecture. A federation manager allocates resources, manages data flow and lineage, establishes privacy boundaries, and maintains cross-institutional knowledge relationships. Each node contains a processing unit for biological data analysis, privacy preservation protocols for secure multi-party computation, a knowledge graph structure with supporting data stores, and encrypted network connections. The federation manager enforces all computation and data exchange through secure channels while maintaining privacy, security, and contractual boundaries. This architecture enables research institutions to collaborate on complex biological analyses without compromising sensitive data, facilitating breakthrough discoveries through shared computational resources while maintaining strict data privacy and security controls.

The invention relates to a multi-protocol transmission text data monitoring and warning method and system, and the method comprises the steps: generating a multi-source protocol transmission instance based on dynamic authorization and hardware security verification, and collecting and analyzing text data; a network connection state, a data backlog amount and sensor numerical value content parameters are monitored in real time through multiple threads, and a transmission state and content exception event queue is generated; learning a causal relationship among network congestion, equipment faults and alarm events by using a Bayesian network algorithm, calculating a root cause probability in combination with a dynamic weight distribution strategy, and generating a comprehensive alarm list of priority ranking; on the basis of user feedback data, protocol weights and alarm strategies are adaptively updated, abnormal early warning triggering, data snapshot binding and closed-loop optimization of alarm logs are achieved, and the problems that in a multi-protocol mixed transmission scene, safety adaptability is poor, the monitoring dimension is single, root cause analysis depends on static rules, and strategy updating lags are solved. And the real-time performance, the accuracy and the self-adaptability of data transmission of the industrial Internet of Things are improved.

A federated distributed computational system enables secure, multi-institutional biological data analysis and genomic medicine through interconnected, decentralized nodes in a federated distributed graph architecture. A federation manager coordinates computational resource allocation, control and data flows, establishes privacy and security boundaries, implements multi-scale spatiotemporal analysis and simulation modeling, models cross-species or intrapopulation elements, and maintains cross-institutional knowledge relationships. Each node includes a local processing unit for biological data analysis, including multiomics and gene editing, privacy-preserving protocols for secure multi-party computation, a hierarchical knowledge graph for managing multi-domain biological relationships across spatial and temporal scales, and encrypted network connections. The system implements cross-species genetic analysis via phylogenetic integration, environmental response modeling through spatiotemporal tracking, and multi-scale tensor-based data integration with adaptive dimensionality control. This architecture enables research institutions to collaborate on complex biological analyses and genomic medicine applications while maintaining strict data privacy and security controls.

The invention relates to the technical field of intelligent power grids, in particular to an intelligent power distribution room sensing system and method based on data fusion. The multi-source data acquisition module is used for synchronously acquiring electrical parameters, mechanical vibration signals, temperature distribution data and environment monitoring data of power equipment in a power distribution room; the edge computing gateway is connected to the multi-source data acquisition module and is configured to perform time alignment, abnormal value elimination and feature extraction on the original sensing data; the data fusion analysis server is connected to the edge computing gateway through a network and comprises a space-time alignment unit used for unifying monitoring data of different sampling frequencies to the same time reference; the self-adaptive weight fusion unit is used for dynamically adjusting fusion weight according to the reliability of the data of each sensor; the state evaluation unit is used for generating an equipment health degree score and a fault early warning signal based on a fusion result; according to the scheme, monitoring blind areas and misjudgment risks caused by data islands can be fundamentally solved.

Provided is a method for driving behavior modeling based on spatio-temporal information fusion, relating to the field of driving behavior simulations. The method includes: constructing a driving behavior model, where the driving behavior model includes a spatial information encoding network, a temporal information encoding network, a feature fusion network, and a feature decoding network, with the feature fusion network being connected to both the spatial information encoding network and the temporal information encoding network, and the feature decoding network being connected to the feature fusion network; determining a future trajectory sequence of a target main vehicle at future time points based on the trained driving behavior model according to spatial information and temporal information of the target main vehicle, where the target main vehicle is controlled to travel according to the future trajectory sequence at the future time points.

The invention provides a multi-level heterogeneous computing power network task scheduling and resource allocation method and system. In a computing power network, each hierarchical network is connected with an intelligent agent for task scheduling and resource allocation. In the training process, the intelligent agent obtains local observation information of the computing power node in the hierarchical network. And the intelligent agent aggregates and converts local observation information according to the relation feature map to generate a feature matrix and an adjacent matrix. Local feature embedding is calculated by using a graph convolutional network, and feature aggregation is carried out in combination with information of a cooperative agent to obtain a local embedding state; and the intelligent agent executes a joint action according to the local embedding state, wherein the joint action comprises task scheduling and resource allocation. And according to an execution result, the agent obtains a reward value and state information and stores the reward value and the state information into an experience playback buffer area. And sampling data from a buffer area, and updating a value function and strategy parameters by taking optimization of calculation task completion time and resource use efficiency as a target. And after a preset training round, obtaining a trained model. The resource overhead of information interaction can be reduced, and the scheduling efficiency is improved.

The present invention discloses an intelligent control system for fire safety management, which relates to the field of safety management technology, including a multimodal sensor module and a digital twin modeling module, wherein the multimodal sensor module and the digital twin modeling module are connected and communicated through a data transmission network, and the digital twin modeling module includes an edge computing node in the region and a central data processing server, and constructs a three-dimensional digital twin model of a building and its environment by receiving and fusing data from the multimodal sensor module and utilizing real-time data processing and model updating algorithms. The present invention realizes the function of constructing and continuously updating a digital twin model of a building and its environment by designing a multimodal sensor module and a digital twin modeling module, and reflects the internal structure of the building, environmental parameters and personnel flow status in real time, solves the problems of data dispersion, lack of real-time performance and static model in traditional systems, and ensures the accuracy and timeliness of fire risk assessment.

Methods, systems, and computer-readable storage media for receiving, from probes, probe data indicative of vulnerabilities of one or more devices to cybersecurity threats. The devices are connected over a network. Aggregated probe data is generated by mapping the probe data using data relationships obtained from a relational database, The data relationships define vulnerability types of cybersecurity threats. A cybersecurity compliance score of each of the one or more devices is determined using a correlation of the aggregated probe data to cybersecurity status scenarios defining consequences related to the cybersecurity threats. A cybersecurity assessment report including the compliance score of the one or more devices and an action plan preventing the consequences related to the cybersecurity threats are provided.

Presented herein are techniques associated with providing an alternative network indication to a client device in a wireless local area network (WLAN) roaming federation. In one example a method is provided that may include obtaining access network information for each of a plurality of access networks that neighbor a first access network through connection of a client device with the first access network involving a first identity provider profile; determining an alternative access network with which the client device is recommended to seek connection or an alternative identity provider profiles with which the client device is recommended to connect to the first access network; and enabling the client device to initiate a connection with the alternative access network or to re-initiate a connection with the first access network utilizing the alternative identity provider profile.

A video gateway system at a worksite is coupled to multiple cameras on a network, and backs-up video streams generated by the cameras to a backend cloud backup video storage system and a frontend (cache) video storage system. The video gateway system generates an aggregated video asset from a plurality of streams of video from the multiple cameras, and generates metadata and a backup report associated with the video asset. The video asset, metadata, and backup report are stored on the backend cloud backup video storage system in an file system, and are also stored on the frontend (cache) video storage system such that for at least a period of time, the video asset and the associated the metadata and backup report are stored on both the cloud backup video storage system, facilitating quick access and retrieval to the stored video for retrieval for streaming, activity detection, and other uses.

The invention discloses a mechanical arm digital twinning system for deep space exploration, and relates to the technical field of digital twinning simulation. The mechanical arm comprises a physical layer, a data acquisition and transmission layer, a digital twin model layer and an application layer, the physical layer comprises a mechanical arm body and a sensor network, and the sensor network is used for acquiring operation state information of the mechanical arm body; the data acquisition and transmission layer comprises data acquisition equipment and a data transmission network, wherein the data acquisition equipment is respectively connected with the sensor network and the data transmission network. According to the invention, the physical layer, the data acquisition and transmission layer, the digital twinborn model layer and the application layer of the mechanical arm are constructed, so that the actual mechanical arm body can be guided to perform related actions through virtual simulation data, and virtual and real body configuration comparison can be completed through a visual interface; and the digital twinning requirements of various spacecraft operations in the future deep space exploration field are met.

A system for interactive searches based on user queries data and a plurality of Large Language Models (LLMs) including a processor of a Human-Machine Interface (HMI) server node configured to host a network of LLMs and at least one machine learning module (ML) and connected to at least one user-entity node over a network and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: receive a search request input data from the at least one user-entity node; evaluate, by a first dedicated LLM, relevance of the search request input data by discerning between primary and secondary information; responsive to evaluation by the first dedicated LLM, derive classifying features from the primary and secondary information and generate a feature vector based on the classifying features; ingest the feature vector into the ML module configured to extract additional search parameters from a predictive search model based on historical search data associated with the at least one user-entity node; dissect, by a second dedicated LLM, the search request input data and the additional search parameters to separate the data into qualitative and quantitative criteria elements based on the primary and the secondary information; transform, by a third dedicated LLM, the quantitative criteria elements into structured queries for a database; process, by a fourth dedicated LLM, the qualitative criteria elements by searching through a semi-structured data repository; and synthesize, by the fifth LLM, processed search findings into a succinct human-language summary.

The present invention discloses an integrated circuit chip with an address code, a key, and a mechanical keyboard. The integrated circuit chip contains a programmable address code, integrates a magnetic induction circuit, a GRB magic color drive circuit, and includes a power pin, a ground pin, and a data pin. The power pins of n integrated circuit chips are connected in parallel to share a power network VCC, the ground pins are connected in parallel to share a ground network GND, and the data pins are connected in parallel to share a data line network DIO connected to an MCU, and data information is transmitted on the data line network DIO. Another integrated circuit chip with an address code only requires a power network VCC and a ground network GND, and data information is modulated and transmitted on the power network, which greatly saves wiring space, reduces the difficulty of PCB design, and exponentially reduces the number of electronic components. In addition, a variety of different customized code sending methods and working modes are provided, making its application simpler, more efficient, and more reliable.

A computer-readable storage medium stores instructions for execution by one or more processors of a UE to configure the UE for simultaneous connection with a 5G NR network and at least a second network, and to cause the UE to perform operations. The operations include encoding UE capability information for transmission to a base station. The UE capability information indicates the UE supports MUSIM operations. First RRC signaling received from the base station includes a plurality of MUSIM configurations to configure the UE for the MUSIM operations. Interference between at least one of the plurality of MUSIM configurations and operation of the UE on the at least second network is detected. Second RRC signaling is transmitted, which indicates a temporary UE capability restriction based on the interference.

The invention relates to a method and a system for automatically updating an intelligent gateway and synchronizing a server. The method comprises the following steps: carrying out system self-inspection and network connection verification on the intelligent gateway to obtain network state information; obtaining version information of the intelligent gateway according to the network state information, and performing local storage management to obtain an update request data packet; establishing a secure communication connection with an OTA server based on the update request data packet to obtain a session credential; performing version comparison of multi-objective optimization by using the session voucher, and executing intelligent update decision making to obtain an update execution plan; downloading an update file from the OTA server according to the update execution plan and performing integrity verification to obtain a verified firmware image file; and deploying the verified firmware image file to the standby partition and executing update installation to complete state synchronous feedback. According to the method, the adaptability and accuracy of the update decision are improved, dynamic resource scheduling in the update process is realized, and the update is ensured to be carried out in the optimal system state.

The invention relates to the technical field of unmanned systems, and discloses an unmanned ship directional operation system cooperating with unmanned aerial vehicle cruise, and the system comprises an unmanned aerial vehicle module which carries a high-precision sensor and is used for scanning a water area environment in real time and generating a high-precision map; the unmanned ship module is provided with a navigation system and an operation device and is used for executing water surface orientation operation according to the high-precision map; the cloud platform module is connected with the unmanned aerial vehicle module and the unmanned ship module through a wireless communication network and is used for data interaction, task scheduling and remote control; and the intelligent charging shore base is used for providing automatic charging support for the unmanned ship module. A high-precision water area map is generated in real time through the unmanned aerial vehicle module and is transmitted to the unmanned ship module, so that the unmanned ship can optimize the route and the obstacle avoidance operation according to the dynamically updated environment data, and the task execution precision is remarkably improved; therefore, the effectiveness of patrolling, cleaning and monitoring tasks is improved.

The invention relates to the technical field of communication routing, in particular to a network connection automatic tuning system and device based on an SRv6 protocol. According to the method, the state data of network equipment is collected in real time, key network indexes such as delay, bandwidth, packet loss rate and hardware performance are combined, the health condition of network connection is dynamically evaluated, and path optimization is carried out in combination with an SRv6 protocol. By automatically calculating a path scoring matrix, the system can automatically select an optimal network path according to the priority of network transmission tasks, and intelligent adjustment and optimization are realized under the conditions of dynamic traffic and complex tasks; the invention provides a path calculation and scheduling mechanism based on an SRv6 protocol, the priority of a network path is automatically adjusted according to different types of data transmission tasks, and the selection of an optimal path is ensured. Meanwhile, the system has an automatic switching mechanism, and can automatically switch to an alternative path when the network path has a fault, thereby improving the reliability and fault-tolerant capability of the network.

The invention discloses a macro server system, an application method, electronic equipment and a storage medium, and relates to the technical field of computers, physical devices (equipment components) of the macro server system are modularly designed to be combined into modules with different functions, and the physical devices support hot plugging, so that the physical devices can be conveniently and quickly combined into modules with different functions. Meanwhile, a plurality of physical devices are connected through a high-speed communication network to form a distributed module cluster, so that a large number of computing resources, management resources and network resources can be packaged into an independent server environment, and the limitation of a current server in the aspects of processor performance, bandwidth, physical structure, hardware quantity, firmware resources and the like is solved; according to the technical scheme, the macro server system capable of supporting large-scale data processing, high-concurrency access and complex operation is constructed, so that the technical problem of how to improve the performance and expandability of the server can be solved, and the technical effect of constructing the macro server system capable of supporting large-scale data processing, high-concurrency access and complex operation is achieved.

The invention discloses a navigation robot self-adaptive communication system and method based on multi-network collaboration, and relates to the technical field of network communication, the system comprises a network management module which is responsible for safely storing encrypted AP information and network topology data and providing a function of receiving AP configuration update through NFC; the signal detection module is responsible for detecting network parameters and generating a network quality evaluation report; the switching control module is responsible for predicting the signal intensity in future set time, realizing microsecond-level decision response by combining a dynamic threshold algorithm and a manufacturer protocol adapter, and providing a decision basis for optimization of network connection; and the dual-channel communication module is integrated with a WiFi chip and a cellular network modem, realizes operator link redundancy through dual SIM (Subscriber Identity Module) card slots, dynamically optimizes WiFi and cellular signal reception by utilizing a built-in intelligent antenna array, and executes network connection optimization and switching operation according to a decision of the switching control module. The navigation robot can automatically adapt to different network environments.

The invention provides a 5G portable WiFi fault diagnosis and recovery method and system. The method comprises the following steps: collecting network connection data, system information and operation logs from a communication terminal connected to 5G portable WiFi equipment; analyzing the data, and generating a fault diagnosis report; selecting and executing corresponding recovery operation from a recovery scheme library according to the report; monitoring equipment state and network connection in real time, and judging whether recovery is successful or not; if the fault is not solved, an advanced solution is provided, and equipment information, program attributes, scheme library information, network connection data, system information and operation logs are sent to an edge server; the edge server obtains fault data and diagnosis reports of a plurality of similar devices as references, potential fault laws are mined through big data analysis, and reference analysis data are generated; and optimizing an intelligent diagnosis program and a recovery scheme library according to the reference analysis data and other information. The fault type can be accurately identified, the fault recovery time is remarkably shortened, and the user experience is improved.

A method and device for a User Equipment (UE) for connecting with a network are disclosed. In one embodiment, the UE delivers a first Protocol Data Unit (PDU) of a first PDU set from a Quality of Service (QoS) flow to a first Data Radio Bearer (DRB). The UE also receives a message or an indication from the network for remapping the QoS flow from the first DRB to a second DRB. Furthermore, the UE delivers a second PDU of the first PDU set to the first DRB, wherein the second PDU is delivered to the first DRB after receiving the message or the indication.

The invention discloses an ultrasonic image off-line acquisition and dynamic synchronous processing method and system, which realizes off-line acquisition and dynamic synchronous processing of an ultrasonic image under the condition of network interruption through six functional modules, namely a network state monitoring module, an online data synchronization module, an image acquisition processing module, an off-line mode switching module, an off-line diagnosis processing module and an increment synchronization module. The method comprises the following steps: acquiring network connection state data and judging a working mode; pulling and caching tasks and template data in an online state; obtaining multi-modal image data and performing double-writing storage; detecting network interruption and switching to an offline mode; performing AI analysis on the images acquired offline and generating a report; and detecting network recovery and executing incremental data synchronization. According to the invention, the problem of service interruption caused by dependence of a traditional PACS system on a network is solved, the network adaptability and robustness of the system are improved, the operation and maintenance cost is reduced, and the system fault recovery time is shortened.

The invention provides a power transmission line small target detection method based on improved YOLOv5s, and the method comprises the steps: constructing a small target detection model, training the small target detection model, and detecting a small target on a power transmission line through the trained model. The model comprises an input end, a backbone network, a connection layer and a prediction layer, wherein the input end adopts Mosaic data enhancement; the backbone network introduces inverse operation of sub-pixel convolution to perform down-sampling; the connection layer integrates multi-head self-attention and shift window attention, enhances the modeling capability of a long-distance target, optimizes multi-scale feature extraction by adopting a bidirectional feature fusion strategy, and improves the detection precision of a small target; and the prediction layer adopts an improved CIoULoss loss function. Compared with the prior art, the small target in the power transmission line can be identified more accurately, false detection and missing detection are reduced, the detection robustness in a complex environment is improved, and the method is suitable for application scenes such as unmanned aerial vehicle inspection and power equipment monitoring.

The invention discloses a photovoltaic power station operation data monitoring method and system, and relates to the technical field of photovoltaic power station equipment monitoring, and the method comprises the steps: collecting equipment operation parameters to form an original data set; constructing an equipment association network by taking the equipment as a node; based on the data set and the association network, time sequence collaborative change and correlation analysis are carried out on the equipment parameters, and a collaborative change model is established; judging that equipment is abnormal through a model, and calling same-type parameters of directly connected nodes to form a to-be-verified set; in combination with the network connection edge weight, calculating the influence degree of the associated parameters on the abnormal equipment by applying a dynamic weight evaluation algorithm, and generating a priority list; and performing iterative optimization on the collaborative change model according to the priority list, and outputting a monitoring report. The system comprises a data acquisition module, a network construction module, an analysis modeling module, an anomaly judgment module, a weight evaluation module, a model optimization module, a data storage module and the like to realize abnormal associated factor identification and monitoring logic optimization.

The embodiment of the invention provides a base station antenna, and relates to the technical field of communication. The base station antenna comprises a housing, a phase shifter and a combiner. The shell is provided with combining cavities and phase shifting cavities, the two phase shifting cavities are arranged side by side in the first direction, the combining cavities are arranged on the same side of the two phase shifting cavities in the second direction in a stacked mode, the first direction is perpendicular to the second direction, and the size of the combining cavity in the first direction is larger than the size of any phase shifting cavity and smaller than the sum of the sizes of the two phase shifting cavities; the phase shifter comprises two phase shifting modules corresponding to the phase shifting cavities, each phase shifting module is arranged in the corresponding phase shifting cavity, and each phase shifting module is provided with a phase shifting network; the combiner is arranged in the combining cavity and provided with a combining network, and the combining network is connected with the two phase shift networks. According to the base station antenna provided by the embodiment of the invention, multi-frequency, miniaturization and integration are realized, the gain, radiation efficiency and sidelobe performance of the base station antenna are optimized, the feed network is simple, and the resonance phenomenon is avoided.

The invention discloses a power operation mode intelligent arrangement and risk prevention and control method under mass new energy access, and relates to the technical field of power system operation control, and the method comprises the steps: constructing a main distribution network architecture data model, carrying out the fusion processing of dynamic data of different voltage levels and professional attributes, and generating a system operation state model; based on the system operation state model, topological structure analysis is executed, and a network connection relation model is established; and calculating a new energy access optimization scheme according to the network connection relation model, and generating an operation mode arrangement result and a risk prevention and control strategy. According to the method, the problems of data islands and inaccurate topology identification in the prior art are effectively solved. By constructing the multi-objective optimization model, the new energy access capacity can be scientifically evaluated, the optimal operation scheme can be generated, and the operation efficiency, safety and reliability of a power system under the condition of massive new energy access are remarkably improved.

A method of hybrid technical support includes receiving, by a network-connected device, a first user prompt including at least one technical support query and generating, by a language model executed by the network-connected device, a first natural-language response to the first user prompt, the first natural-language response configured to elicit first additional information describing the at least one technical support query. The method further includes receiving, by the network-connected device, a second user prompt including the first additional information describing the at least one technical support query, generating a pre-summarization prompt based on the first user prompt and the second user prompt, generating a summarization of the pre-summarization prompt using a language summarization model executed by the network-connected device, and providing the summarization to a support technician device configured to be operated by a support technician. The language summarization model is configured to generate summaries of text prompts.